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JMLR 2012

MULTIBOOST: A Multi-purpose Boosting Package

Journal Article Articles Artificial Intelligence · Machine Learning

Abstract

The MULTIBOOST package provides a fast C++ implementation of multi-class/multi-label/multi-task boosting algorithms. It is based on ADABOOST.MH but it also implements popular cascade classifiers and FILTERBOOST. The package contains common multi-class base learners (stumps, trees, products, Haar filters). Further base learners and strong learners following the boosting paradigm can be easily implemented in a flexible framework. [abs] [ pdf ][ bib ] [ code ] &copy JMLR 2012. ( edit, beta )

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Context

Venue
Journal of Machine Learning Research
Archive span
2000-2026
Indexed papers
4180
Paper id
762823667264031296
v2026.09.13